Treffer: Exploring Artificial Intelligence and Machine Learning Programming for Automated Problem-Solving Simulations: A Review

This study explores the use of an AI-driven machine learning approach implemented in current scenario for solving the real world problem. A machine learning based code needs a similar datasets of the particular problem so that it will work and behave the same as what human think i.e. general intelligence. This paper presents a review of past research on the aforementioned topic and draws conclusions based on the reviews. The major contributors of the different studies shows the multi-layer perceptron neural network (MLPNN), convolutional neural network (CNN), and recurrent neural network (RNN), applied to one-dimensional, twodimensional, and time-series data for application of understanding by the code. It is concluded that the selection of AI based programming language should be selected first that learn the datasets and respond according to general intelligence and then convert it into artificial intelligence.